MERRA2_hourly_2d_flx_Nx
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/MERRA2_hourly_2d_flx_Nx.yaml")
ds=cat.netcdf.read()Metadata
| title | MERRA2_hourly_2d_flx_Nx |
| location | /shared/land/MERRA-2/HOURLY/flx |
| tags | reanalysis, |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/MERRA2_hourly_2d_flx_Nx.yaml |
| last updated | 2021-08-11 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 361, lon: 576, time: 359424)
Coordinates:
* lat (lat) float64 -90.0 -89.5 -89.0 -88.5 ... 88.5 89.0 89.5 90.0
* lon (lon) float64 -180.0 -179.4 -178.8 -178.1 ... 178.1 178.8 179.4
* time (time) int64 0 60 120 180 240 300 ... 1140 1200 1260 1320 1380
Data variables:
CDH (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
CDM (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
PBLH (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
PRECCON (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
PRECTOT (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
PRECTOTCORR (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
QLML (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
QSH (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
RHOA (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
SPEED (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
TLML (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
TSH (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
Z0M (time, lat, lon) float32 dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
Attributes:
History: Wed May 31 13:16:07 2017: ncks -O -v C...
Comment: GMAO filename: d5124_m2_jan79.tavg1_2d...
Filename: MERRA2_100.tavg1_2d_flx_Nx.19800101.nc4
Conventions: CF-1
Institution: NASA Global Modeling and Assimilation ...
References: http://gmao.gsfc.nasa.gov
Format: NetCDF-4/HDF-5
SpatialCoverage: global
VersionID: 5.12.4
TemporalRange: 1980-01-01 -> 2016-12-31
identifier_product_doi_authority: http://dx.doi.org/
ShortName: M2T1NXFLX
GranuleID: MERRA2_100.tavg1_2d_flx_Nx.19800101.nc4
ProductionDateTime: Original file generated: Sat May 31 17...
LongName: MERRA2 tavg1_2d_flx_Nx: 2d,1-Hourly,Ti...
Title: MERRA2 tavg1_2d_flx_Nx: 2d,1-Hourly,Ti...
SouthernmostLatitude: -90.0
NorthernmostLatitude: 90.0
WesternmostLongitude: -180.0
EasternmostLongitude: 179.375
LatitudeResolution: 0.5
LongitudeResolution: 0.625
DataResolution: 0.5 x 0.625
Source: CVS tag: GEOSadas-5_12_4
Contact: http://gmao.gsfc.nasa.gov
identifier_product_doi: 10.5067/7MCPBJ41Y0K6
RangeBeginningDate: 1980-01-01
RangeBeginningTime: 00:00:00.000000
RangeEndingDate: 1980-01-01
RangeEndingTime: 23:59:59.000000
NCO: 4.4.4xarray.Dataset
- lat: 361
- lon: 576
- time: 359424
- lat(lat)float64-90.0 -89.5 -89.0 ... 89.5 90.0
- long_name :
- latitude
- units :
- degrees_north
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
array([-90. , -89.5, -89. , ..., 89. , 89.5, 90. ])
- lon(lon)float64-180.0 -179.4 ... 178.8 179.4
- long_name :
- longitude
- units :
- degrees_east
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
array([-180. , -179.375, -178.75 , ..., 178.125, 178.75 , 179.375])
- time(time)int640 60 120 180 ... 1260 1320 1380
- long_name :
- time
- time_increment :
- 10000
- begin_time :
- 3000
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
array([ 0, 60, 120, ..., 1260, 1320, 1380])
- CDH(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- surface_exchange_coefficient_for_heat
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_exchange_coefficient_for_heat
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - CDM(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- surface_exchange_coefficient_for_momentum
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_exchange_coefficient_for_momentum
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - PBLH(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- planetary_boundary_layer_height
- units :
- m
- fmissing_value :
- 1000000000000000.0
- standard_name :
- planetary_boundary_layer_height
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - PRECCON(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- convective_precipitation
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- convective_precipitation
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - PRECTOT(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- total_precipitation
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- total_precipitation
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - PRECTOTCORR(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- total_precipitation
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- total_precipitation
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - QLML(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- surface_specific_humidity
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_specific_humidity
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - QSH(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- effective_surface_specific_humidity
- units :
- kg kg-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- effective_surface_specific_humidity
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - RHOA(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- air_density_at_surface
- units :
- kg m-3
- fmissing_value :
- 1000000000000000.0
- standard_name :
- air_density_at_surface
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - SPEED(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- surface_wind_speed
- units :
- m s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_wind_speed
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - TLML(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- surface_air_temperature
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_air_temperature
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - TSH(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- effective_surface_skin_temperature
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- effective_surface_skin_temperature
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray - Z0M(time, lat, lon)float32dask.array<chunksize=(24, 361, 576), meta=np.ndarray>
- long_name :
- surface_roughness
- units :
- m
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_roughness
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 298.95 GB 19.96 MB Shape (359424, 361, 576) (24, 361, 576) Count 44928 Tasks 14976 Chunks Type float32 numpy.ndarray
- History :
- Wed May 31 13:16:07 2017: ncks -O -v CDH,CDM,PBLH,PRECCON,PRECTOT,PRECTOTCORR,QLML,QSH,RHOA,SPEED,TLML,TSH,Z0M MERRA2_100.tavg1_2d_flx_Nx.19800101.nc4 /shared/land/MERRA-2/HOURLY/MERRA2_hourly_2_2d_flx_Nx.19800101.nc4 Original file generated: Sat May 31 17:44:24 2014 GMT
- Comment :
- GMAO filename: d5124_m2_jan79.tavg1_2d_flx_Nx.19800101.nc4
- Filename :
- MERRA2_100.tavg1_2d_flx_Nx.19800101.nc4
- Conventions :
- CF-1
- Institution :
- NASA Global Modeling and Assimilation Office
- References :
- http://gmao.gsfc.nasa.gov
- Format :
- NetCDF-4/HDF-5
- SpatialCoverage :
- global
- VersionID :
- 5.12.4
- TemporalRange :
- 1980-01-01 -> 2016-12-31
- identifier_product_doi_authority :
- http://dx.doi.org/
- ShortName :
- M2T1NXFLX
- GranuleID :
- MERRA2_100.tavg1_2d_flx_Nx.19800101.nc4
- ProductionDateTime :
- Original file generated: Sat May 31 17:44:24 2014 GMT
- LongName :
- MERRA2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics
- Title :
- MERRA2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics
- SouthernmostLatitude :
- -90.0
- NorthernmostLatitude :
- 90.0
- WesternmostLongitude :
- -180.0
- EasternmostLongitude :
- 179.375
- LatitudeResolution :
- 0.5
- LongitudeResolution :
- 0.625
- DataResolution :
- 0.5 x 0.625
- Source :
- CVS tag: GEOSadas-5_12_4
- Contact :
- http://gmao.gsfc.nasa.gov
- identifier_product_doi :
- 10.5067/7MCPBJ41Y0K6
- RangeBeginningDate :
- 1980-01-01
- RangeBeginningTime :
- 00:00:00.000000
- RangeEndingDate :
- 1980-01-01
- RangeEndingTime :
- 23:59:59.000000
- NCO :
- 4.4.4